--- language: - ko license: apache-2.0 base_model: openai/whisper-small tags: - hf-asr-leaderboard - generated_from_trainer datasets: - aihub.or.kr model-index: - name: whisper_small_c1 results: [] --- # whisper_small_c1 This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the telephone dataset. It achieves the following results on the evaluation set: - Loss: 0.7706 - Cer: 15.7895 ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 1e-05 - train_batch_size: 16 - eval_batch_size: 4 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 500 - training_steps: 4000 ### Training results | Training Loss | Epoch | Step | Validation Loss | Cer | |:-------------:|:-------:|:----:|:---------------:|:-------:| | 0.0 | 333.33 | 1000 | 0.6593 | 14.2857 | | 0.0 | 666.67 | 2000 | 0.7241 | 12.0301 | | 0.0 | 1000.0 | 3000 | 0.7576 | 15.7895 | | 0.0 | 1333.33 | 4000 | 0.7706 | 15.7895 | ### Framework versions - Transformers 4.37.0.dev0 - Pytorch 2.1.1+cu121 - Datasets 2.16.0 - Tokenizers 0.15.0